Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- KINGS COLLEGE LONDON
- University of Oxford
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- University of California Berkeley
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- New York University
- University of Minnesota
- Copenhagen Business School , CBS
- Cornell University
- Heriot Watt University
- Leibniz
- Pennsylvania State University
- Stony Brook University
- Technical University of Denmark
- University of Florida
- University of Lund
- University of Vienna
- Utrecht University
- Yale University
- ;
- Aarhus University
- Carnegie Mellon University
- Cold Spring Harbor Laboratory
- Duke University
- King's College London
- South Dakota Mines
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of Central Florida
- University of Minnesota Twin Cities
- University of Washington
- ; Technical University of Denmark
- ; Xi'an Jiaotong - Liverpool University
- Aalborg University
- Canadian Association for Neuroscience
- Case Western Reserve University
- Copenhagen Business School
- Emory University
- Empa
- European Space Agency
- Forschungszentrum Jülich
- Georgia State University
- Ghent University Global Campus
- Heriot-Watt University;
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- Los Alamos National Laboratory
- McGill University
- New York University of Abu Dhabi
- Northeastern University
- Oak Ridge National Laboratory
- Purdue University
- Radboud University
- Reykjavik University
- Royal College of Art
- SUNY University at Buffalo
- Swedish University of Agricultural Sciences
- Texas A&M University
- The Ohio State University
- The University of Arizona
- The University of Iowa
- University at Buffalo
- University of British Columbia
- University of California Irvine
- University of Cambridge
- University of Cincinnati
- University of Colorado
- University of London
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Southern Denmark
- University of Texas at Arlington
- University of Twente (UT)
- University of Virginia
- VIB
- Virginia Tech
- Vrije Universiteit Brussel
- Wageningen University & Research
- Wageningen University and Research Center
- Wayne State University
- 77 more »
- « less
-
Field
-
Qualifications: Experience with aging populations or neurodegenerative diseases Familiarity with deep learning and advanced statistical approaches to neuroimaging data Prior publications in relevant areas Required
-
computational pipelines and deep learning of imaging. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications: No additional
-
computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
-
project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
-
it is not required that the candidate possess a deep theoretical understanding of AI, practical proficiency in using AI will be considered in the selection process. Applicants must hold a PhD prior to
-
). Team player and great collaborator Strong interest in interdisciplinary work at the interface between dementia/ neurodegeneration, modeling, and machine learning Prior experience in deep learning, or/and
-
participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
-
-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
-
, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
-
-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence